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Senior AI Architect (2026 Vision) - San Francisco, CA

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the systems of the future? Nexus Horizon Labs is at the forefront of the 2026 technological revolution, building next-generation neural interfaces and autonomous AI systems. We are seeking a visionary Senior AI Architect to lead our Research and Development division.

In this pivotal role, you will define the architectural blueprint for our generative models and edge-computing solutions. You won't just be maintaining legacy systems; you will be laying the foundation for the intelligence infrastructure of 2026 and beyond. If you possess a deep understanding of deep learning, scalable systems, and a passion for pushing the boundaries of what is possible, we want to hear from you.

Why Join Us?

  • Work on cutting-edge AI projects with a focus on the 2026 roadmap.
  • Competitive compensation and equity package.
  • Flexible remote-first hybrid work environment in the heart of San Francisco.

Responsibilities

  • Design and implement scalable deep learning architectures for large-scale language models and computer vision systems.
  • Lead the technical strategy for the 2026 AI roadmap, ensuring alignment with business objectives and emerging technological trends.
  • Optimize model inference performance on distributed hardware clusters.
  • Mentor a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams including product management, hardware engineering, and security specialists.
  • Research and prototype novel algorithms to solve complex, unstructured problems.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Minimum of 6 years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Strong proficiency in Python, PyTorch, TensorFlow, and C++.
  • Proven experience with distributed computing frameworks (Kubernetes, Ray, or Apache Spark).
  • Deep understanding of neural network optimization techniques and model quantization.
  • Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow C++ Kubernetes Machine Learning Deep Learning Distributed Systems AWS GCP Neural Networks NLP Computer Vision

Ready to Take This Challenge?

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